基因组编辑技术及未来发展  

Genome editing technology and future development

作　　者：赵东东 宗媛 尹蕾 毕昌昊[1] 王金 高彩霞[2] 张学礼 ZHAO Dong-Dong;ZONG Yuan;YIN Lei;BI Chang-Hao;WANG Jin;GAO Cai-Xia;ZHANG Xue-Li(Tianjin Institute of Industrial Biotechnology,Chinese Academy of Sciences,Tianjin 300308,China;Institute of Genetics and Developmental Biology,Chinese Academy of Sciences,Beijing 100101,China;Shanghai Normal University,Shanghai 200234,China;Institute of Translational Medicine,Shenzhen Second People's Hospital,Shenzhen 518000,China)

机构地区：[1]中国科学院天津工业生物技术研究所,天津300308 [2]中国科学院遗传与发育生物学研究所,北京100101 [3]上海师范大学,上海200234 [4]深圳市第二人民医院转化医学研究院,深圳518000

出　　处：《生命科学》2021年第12期1462-1468,共7页Chinese Bulletin of Life Sciences

摘　　要：基因组编辑技术是合成生物学的一项核心使能技术。CRISPR基因组编辑技术在生命科学领域掀起了一场全新的技术革命,助推了合成生物学快速发展。然而,目前CRISPR基因组编辑技术的性能尚有欠缺,智能设计、表达和投递系统等相关技术也不能满足医疗和农业领域的应用需求。未来基因组编辑技术的发展方向,一方面亟待开发更精准、高效、全面和智能的CRISPR基因组编辑技术;另一方面,需利用大数据分析和人工智能技术,开发CRISPR之外全新的颠覆性基因组编辑技术。Genome editing is an incredibly enabling synthetic biology technology.CRISPR genome editing technology represents a technological revolution across all life sciences.However,currently CRISPR genome editing technologies are still limited by many challenges,and other related technologies such as intelligent design,expression and delivery systems are unable to meet requirements of applying CRISPR editing across medicine and agriculture.For future genome editing technology developments,it is necessary to generate more accurate,efficient,comprehensive and intelligent CRISPR genome editing technologies.Additionally,big data analyses and artificial intelligence approaches are essential towards developing novel subversive genome editing technologies that differ from CRISPR approaches.

关 键 词：基因组编辑 合成生物学 CRISPR 碱基编辑 引导编辑 

分 类 号：Q-33[生物学] Q78